redundant robot kinematics control based on neural network 基于神經(jīng)網(wǎng)絡(luò)的冗余度機器人運動學(xué)控制
the development of the motion control technique includes four phases : kinematics control, dynamic control, motion controller based control and motion capture technique 運動控制技術(shù)的發(fā)展基本上經(jīng)歷了以下四個階段:運動學(xué)控制、動力學(xué)控制、基于控制器的運動控制和運動捕獲技術(shù)。
in this dissertation, based on the 6 hexaglide and stewart platform vamt, the kinematics control strategies were researched, in order to find the practical and accepted solutions 本文以目前主要存在的滑塊式和stewart平臺虛擬軸機床為研究對象,從尋求實用、便于實現(xiàn)的控制策略角度出發(fā),對其運動控制進行了研究。